1. Strengthen Your Human Capabilities
As AI tools become more powerful, distinctly human capabilities become increasingly valuable. Use AI as a tool to supplement and amplify your essential human abilities.
Skills You Will Need
- Critical thinking: Analyzing complex situations; identifying bad assumptions, logical flaws and unreliable sources.
- Creativity and innovation: Generating novel ideas, solving problems in new ways, being comfortable with ambiguity, constructively challenging conventional wisdom.
- Emotional intelligence: Building empathy and strong listening skills, mastering confict resolution and negotiation, reading social dynamics, building intercultural competence, developing resilience and emotional self-regulation.
- Ethical judgment: Recognizing moral complexity, advocating for ethical considerations, setting personal ethical principles and boundaries.
- Strategic thinking: Seeing beyond immediate problems to broader implications, identifying emerging opportunities and threats, planning for scenarios and risks.
- Leadership and collaboration: Motivating a team, delegating and overseeing tasks, giving and receiving constructive feedback, building consensus and managing conflict.
How to Develop These Skills
- Cultivate mentors who can guide your development.
- Take classes or seminars focused on your personal and professional growth and development.
- Seek leadership roles in student and professional organizations.
- Join group, research and community projects.
- Make internships a priority in your education.
2. Become AI-literate
Findings from the 2025 World Economic Forum Future of Jobs Report (PDF):
- 87% of employers say AI and big data skills are becoming more important.
- 86% of employers expect AI and related technologies will drive business transformation in the next five years.
- 69% of employers plan to recruit talent skilled in AI tool design and enhancement.
- 62% of employers anticipate focusing on hiring individuals with skills to work with AI.
Skills You Will Need
- Fundamental AI skills: Writing effective prompts, fact-checking AI output, combining outputs from multiple AI tools, writing and editing with AI, working ethically with AI.
- Technical understanding: Basic knowledge of how different types of AI work, understanding AI limitations and biases.
- Professional AI applications: Using AI tools specific to your field; information research, data analysis and visualization.
- AI integration: Creating workfows and documentation that combine AI and human input, protocols for quality control of AI output, keeping AI secure and guarding data privacy.
How to Develop These Skills
- Take courses focused on AI tools and applications.
- Get to know professors and mentors who can share what they know about AI.
- Complete AI certification programs.
- Build a portfolio of AI-assisted projects.
- Join AI professional organizations and student AI groups.